Extended SPL (search processing language)

The Splunk Machine Learning Toolkit contains numerous custom search commands, referred to as ML-SPL commands, that implement standard machine learning tasks. You can use these commands on any Splunk platform instance on which the Splunk Machine Learning Toolkit is installed.

These commands are fit, apply, summary, listmodels, deletemodel, and sample:

• fit: This command is used to apply a machine learning model to Splunk data search results
• apply: This is used to calculate predictions for the current search results based on a model that was learned by the fit command
• summary: This generates a summary of a machine learning model that was learned using the fit command
• listmodels: This command is used to create a list of machine learning models that were learned using the fit command
• deletemodel: Used to delete a machine learning model that was learned using the fit command
• sample: This command can be used to randomly sample or partition events

ML-SPL performance...